Adopting artificial intelligence driven technology in medical education
Interactive Technology and Smart Education
ISSN: 1741-5659
Article publication date: 29 January 2024
Abstract
Purpose
Artificial intelligence (AI) is a growing paradigm and has made considerable changes in many fields of study, including medical education. However, more investigations are needed to successfully adopt AI in medical education. The purpose of this study was identify the determinant factors in adopting AI-driven technology in medical education.
Design/methodology/approach
This was a descriptive-analytical study in which 163 faculty members from Tabriz University of Medical Sciences were randomly selected by nonprobability sampling technique method. The faculty members’ intention concerning the adoption of AI was assessed by the conceptual path model of task-technology fit (TTF).
Findings
According to the findings, “technology characteristics,” “task characteristics” and “TTF” showed direct and significant effects on AI adoption in medical education. Moreover, the results showed that the TTF was an appropriate model to explain faculty members’ intentions for adopting AI. The valid proposed model explained 37% of the variance in faulty members’ intentions to adopt AI.
Practical implications
By presenting a conceptual model, the authors were able to examine faculty members’ intentions and identify the key determining factors in adopting AI in education. The model can help the authorities and policymakers facilitate the adoption of AI in medical education. The findings contribute to the design and implementation of AI-driven technology in education.
Originality/value
The finding of this study should be considered when successful implementation of AI in education is in progress.
Keywords
Acknowledgements
The authors would like to thank the participants who took part in this study.
Funding: This study was funded by Tabriz University of Medical Sciences (Grant Number: 73129).
Authors’ contributions: Mohammadhiwa Abdekhoda was the main investigator who performed experiments and wrote the manuscript; Afsaneh Dehnad contributed to the current study by acting as coauthor, supervising and final drafting of the manuscript.
Ethics approval and consent to participate: The present research was approved by the Ethics committee.
Consent for publication: Not applicable.
Availability of data and material: The data sets used and/or analyzed during the current study are available on reasonable request from the corresponding author.
Competing interests: The authors declare no conflict of interest.
Citation
Abdekhoda, M. and Dehnad, A. (2024), "Adopting artificial intelligence driven technology in medical education", Interactive Technology and Smart Education, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/ITSE-12-2023-0240
Publisher
:Emerald Publishing Limited
Copyright © 2024, Emerald Publishing Limited